Sinan Q. Salih

4.2k citations
79 papers · 3.2k indexed · h-index 36
Topics
Hydrological Forecasting Using AI (25 papers)Hydrology and Watershed Management Studies (13 papers)Energy Load and Power Forecasting (9 papers)
Partner nations
VietnamIraqMalaysia

In The Last Decade

Sinan Q. Salih

73 papers receiving 3.1k citations

Peers

Sinan Q. Salih
Comparison fields: 5 of 143
  • Environmental Engineering 1.2k
  • Water Science and Technology 931
  • Global and Planetary Change 737
  • Artificial Intelligence 679
  • Electrical and Electronic Engineering 510
Replace Sungwon Kim with:
Sungwon Kim South Korea
Amirhosein Mosavi Iran
Saeed Farzin Iran
Narjes Nabipour Vietnam
Mohammad Ali Ghorbani Iran
Meysam Alizamir Iran
H. Kerem Ciğizoğlu Türkiye
Mohammad Ehteram Iran
İbrahim Demir United States
Hiep Van Le Vietnam
Sinan Q. Salih relative to Sungwon Kim South Korea Sungwon Kim's profile →
Citations per field
00.5×1.6×
Sungwon Kim · 1×
Citations per year

Countries citing papers authored by Sinan Q. Salih

Since Specialization
Citations

This map shows the geographic impact of Sinan Q. Salih's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sinan Q. Salih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sinan Q. Salih more than expected).

Fields of papers citing papers by Sinan Q. Salih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sinan Q. Salih. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sinan Q. Salih. The network helps show where Sinan Q. Salih may publish in the future.

Co-authorship network of co-authors of Sinan Q. Salih

This figure shows the co-authorship network connecting the top 25 collaborators of Sinan Q. Salih. A scholar is included among the top collaborators of Sinan Q. Salih based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sinan Q. Salih. Sinan Q. Salih is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 1
4 22
5 11
6 24
7 6
8 0
9 4
10 6
11 2
12 14
13 15
14 28
15 0
16 57
17 65
18 40
19 58
20 51

About Sinan Q. Salih

Sinan Q. Salih is a scholar working on Environmental Engineering, Water Science and Technology and Artificial Intelligence, having authored 79 papers that have together received 3.2k indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (25 papers), Hydrology and Watershed Management Studies (13 papers) and Energy Load and Power Forecasting (9 papers). The work is most often cited by research in Environmental Engineering (1.2k citations), Water Science and Technology (931 citations) and Global and Planetary Change (737 citations). Sinan Q. Salih has collaborated with scholars based in Vietnam, Iraq and Malaysia. Frequent co-authors include Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Nadhir Al‐Ansari, AbdulRahman A. Alsewari, Tao Hai, Ahmad Sharafati, Shamsuddin Shahid, Zainab Hasan Ali, Kwok‐wing Chau, Anurag Malik and Özgür Kişi. Their work appears in journals such as PLoS ONE, Scientific Reports and Chemosphere.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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